“Digital Farming” explores how technologies like drones, sensors, and artificial intelligence are revolutionizing agriculture. It addresses the critical question of whether these advancements can sustainably feed a growing global population. The book highlights the shift towards data-driven farming, where real-time information optimizes resource use and minimizes environmental impact. For instance, spectral imaging from drones can pinpoint areas needing irrigation, and AI algorithms can predict crop yields based on historical data.
The book begins by introducing precision agriculture and then systematically examines specific technologies. It delves into the use of drones for crop monitoring, sensors for gathering soil data, and AI for informed decision-making. Case studies and research data support the analysis, providing evidence of digital farming's effectiveness. It also acknowledges challenges like data privacy and technological accessibility.
Ultimately, this book offers a balanced perspective on the potential and challenges of digital farming. It connects to fields like environmental science, computer science, and economics, making it valuable for farmers, students, policymakers, and anyone curious about the future of food production. The content is presented in an accessible manner, making complex concepts understandable through examples and clear explanations, progressing across chapters to build a comprehensive understanding.
